Decision support systems are designed to assist a user by delivering targeted support for a specific decision problem. The application domain is an important consideration in developing the system, and the decision problem defines needed data, models and processing. Dynamic environments offer unique challenges to the system designer since the situation can change rapidly, requiring modification to the supporting technology. Modern intelligent techniques make it possible to envision a new type of adaptive decision support system (ADSS) that can perceive context and associate relevant models and data with the decision problem. In this paper we propose a framework for ADSS that utilizes intelligent methods to contextualize the decision problem and provide appropriate support to the user.